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Fundamentals of Artificial Intelligence - Study Guide with Practice Questions – 1st Edition
Master The Concepts Of Artificial Intelligence In 7 Days!
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Dive into the Fundamentals of Artificial Intelligence and transform your understanding with practical exercises, expert insights, and interactive content. Start your journey today and master AI to shape the future!
Book Description
This comprehensive guide to Artificial Intelligence helps you to understand how AI technologies are applied in various industries. It provides a guaranteed and thorough understanding of AI principles, including machine learning, neural networks, and natural language processing. Our author has put significant effort into defining everything required to understand all core concepts of AI.
Key Features Comprehensive Coverage: Thorough exploration of AI concepts from basics to advanced techniques. Hands-on Labs: Includes practical exercises, labs, and real-world scenarios. Interactive Content: Engaging examples and practice questions. Tool and Technique Mastery: Covers a range of AI tools and techniques. Up-to-date Content: Reflects the latest AI trends and developments. Accessible Language: Clear and concise, suitable for all levels. What You Will Learn Understanding of AI fundamentals and its applications Working knowledge of machine learning algorithms and techniques Understanding of neural networks and deep learning Knowledge of natural language processing and its applications Insights into AI tools and frameworks Hands-on experience with AI projects and labs Familiarity with ethical considerations in AI Who is this book for?
This guide is for individuals aiming to develop fundamental knowledge and skills in Artificial Intelligence. It is suitable for students, IT professionals, and anyone interested in exploring AI concepts and applications.
User Profile: Individuals with an interest in learning about AI IT professionals seeking to enhance their AI skills Students and researchers in the field of AI Those considering a career in AI and related technologies
Table of Contents: Chapter 01: Course Introduction and Basics Chapter 01: Introduction to Artificial Intelligence Chapter 02: Basic Concepts in AI Chapter 03: Problem Solving and Search Algorithms Chapter 04: Beyond Classical and Adversarial Search Chapter 05: Knowledge Representation Chapter 06: Knowledge Uncertainty and Probabilistic Reasoning Chapter 07: Machine Learning Fundamentals Chapter 08: Neural Networks and Deep Learning Chapter 09: Natural Language Processing Chapter 10: Computer Vision Chapter 11: AI Ethics and Bias Chapter 12: Building AI Projects Chapter 13: Challenges and Future Directions
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